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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Time Series Web Traffic Forecasting

By: Mphasis Latest Version: 3.6

Product Overview

Web Traffic Forecasting enables enterprises to optimize web server allocation, scaling for instances, parallelise workload traffic and utilization by generating 30 days of forward forecast of web traffic data. This helps enterprises to plan their IT infrastructure strategy across the cloud and on premise scenarios. It facilitates seamless end user experience and satisfied customers. It uses ensemble ML algorithms with automatic model selection. This solution performs automated model selection to apply the right model based on the input data, thereby providing consistent and better results.

Key Data

By Mphasis
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)

Support Information

Time Series Web Traffic Forecasting

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Refund Policy

Currently we do not support refunds, but you can cancel your subscription to the service at any time.

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